Investigation of the Maximum Association for Suicide Rate and Social Factors Using Computer Algorithm

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dc.contributor.authorFukuda, K.
dc.contributor.authorTakaoka, T.
dc.date.accessioned2008-08-11T21:48:39Z
dc.date.available2008-08-11T21:48:39Z
dc.date.issued2007en
dc.description.abstractA computer algorithm, the K-Maximum Subarray (K-MSA), is applied for the first time to investigate the maximum relationship between the total New Zealand population of suicide deaths (1983-2002) by age group, with four selected social factors; number of bankruptcies, unemployed people, divorces, and orphans and unsupported child beneficiaries, respectively. The range of ages from 5 to 80 years is divided into five-year groups, plus a “more than 85 years old” group. Social factors are classified into four classes (low, med, high and very high) based on their quartile ranges.en
dc.identifier.citationFukuda, K., Takaoka, T. (2007) Investigation of the Maximum Association for Suicide Rate and Social Factors Using Computer Algorithm. Christchurch, New Zealand: MODSIM 2007 International Congress on Modelling and Simulation, 10-13 Dec 2007. MODSIM 2007 International Congress on Modelling and Simulation Proceedings, 2882-2888.en
dc.identifier.urihttp://hdl.handle.net/10092/757
dc.language.isoen
dc.publisherUniversity of Canterbury. Computer Science and Software Engineering.en
dc.relation.urihttp://www.mssanz.org.au/MODSIM07/papers/52_s24/Investigations24_Fukuda_.pdfen
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subjectAlgorithmen
dc.subjectFactoren
dc.subjectMaximum subarrayen
dc.subjectSocioeconomicsen
dc.subjectSuicideen
dc.subject.marsdenFields of Research::280000 Information, Computing and Communication Sciences::280400 Computation Theory and Mathematics::280401 Analysis of algorithms and complexityen
dc.subject.marsdenFields of Research::370000 Studies in Human Society::370100 Sociology::370102 Social policy and planningen
dc.titleInvestigation of the Maximum Association for Suicide Rate and Social Factors Using Computer Algorithmen
dc.typeConference Contributions - Published
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